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* feat(skillpack): brain_resident manifest fields + init-brain-pack scaffolder + tools version-skew lint Add optional brain_resident/schema_pack to the v1 manifest (additive, forward-compatible). New runInitBrainPack scaffolds a brain-resident pack (brain_resident:true, exact gbrain_min_version, 5-section machine-parseable README) beside brain content; applyWritePlan factored out of init-scaffold. brain-pack-lint validates each skill's declared tools: against the serving op set (E6 version-skew). Wires gbrain skillpack init-brain-pack. * feat(skillpack): Topology A brain-pack discovery on sources add + bounded nag After 'gbrain sources add', if the source ships a brain_resident pack, print an agent-readable advisory (ask the user before scaffolding). nag-state.ts tracks declines per (source-repo brain_id, source, pack) with escalate-then-suppress; declines count only on CLI-interactive displays, never cron/MCP. Fail-open: a malformed/absent pack never breaks sources add. * feat(advisor,skillpack): list_brain_skillpack MCP tool + gbrain advisor Topology B: dedicated source-scoped list_brain_skillpack op + get_skill source_id disambiguation (brain-resident-locate.ts); git scaffold-spec never a server FS path; source-aware schema match. LEARN_INSTRUCTION + serve-http banner. gbrain advisor: read-only ranked actions from brain state (8 resilient collectors, shared renderer, JSONL history, --json severity exit codes, local-only argv --apply dispatcher). Exposed over MCP behind mcp.publish_advisor (default off, read-only on remote; workspace collectors no-op remotely). Generalizes post-install-advisory to a single current-state recommended set (install→scaffold). * feat(skills): bundle gbrain-advisor skill + weekly cron recipe + ranking eval skills/gbrain-advisor teaches a harness to run gbrain advisor on a cadence and ping the user (read-only; ask before fixing). Registered in manifest.json, RESOLVER.md, openclaw.plugin.json. E4 ranking-precision eval on seeded-defect fixtures (100%). * chore: bump version and changelog (v0.42.47.0) Brain-resident skillpacks + gbrain advisor (#2180). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * docs: sync CLAUDE.md + KEY_FILES for brain-resident skillpacks + advisor (#2180) Skill count 29->30, Skills section gains the brain-resident skillpacks + advisor capability, KEY_FILES gets current-state entries for the new modules. Regenerate llms bundles. * test,fix: align stale assertions with generalized advisory + advisor resolver triggers (#2180) - post-install-advisory.test.ts: install→scaffold wording (the install verb was removed); restore two-column in book-mirror copy; drop the removed skillpack-list line. - RESOLVER.md: gbrain-advisor trigger now fuzzy-matches a declared frontmatter trigger (resolver round-trip D5/C). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * docs: regenerate llms bundle for updated advisor resolver row (#2180) --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
171 lines
6.7 KiB
TypeScript
171 lines
6.7 KiB
TypeScript
/**
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* Tests for the advisor core: ranking, collector resilience, individual
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* collectors with a stub engine, and finding-history deltas.
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*/
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import { describe, test, expect, beforeEach, afterEach } from 'bun:test';
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import { mkdtempSync, rmSync } from 'fs';
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import { tmpdir } from 'os';
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import { join } from 'path';
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import { rankFindings, runAdvisor } from '../src/core/advisor/run.ts';
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import { collectUsageShape } from '../src/core/advisor/collect-usage-shape.ts';
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import { collectStalledJobs } from '../src/core/advisor/collect-stalled-jobs.ts';
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import { collectSetupSmells } from '../src/core/advisor/collect-setup-smells.ts';
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import { appendAdvisorRun, summarizeDeltas } from '../src/core/advisor/history.ts';
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import { renderAdvisorReport } from '../src/core/advisor/render.ts';
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import type { AdvisorContext, AdvisorFinding, AdvisorReport } from '../src/core/advisor/types.ts';
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function finding(over: Partial<AdvisorFinding>): AdvisorFinding {
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return {
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id: 'x',
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severity: 'info',
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title: 't',
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fix: { command_argv: null },
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collector: 'usage-shape',
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ask_user: true,
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...over,
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};
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}
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function ctx(engine: Partial<AdvisorContext['engine']>, over: Partial<AdvisorContext> = {}): AdvisorContext {
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return {
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engine: engine as AdvisorContext['engine'],
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config: {} as AdvisorContext['config'],
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version: '0.43.0.0',
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workspace: null,
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skillsDir: null,
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now: new Date('2026-06-16T00:00:00Z'),
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remote: false,
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...over,
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};
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}
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describe('rankFindings', () => {
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test('critical > warn > info, then collector order; info capped', () => {
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const fs = [
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finding({ id: 'i1', severity: 'info', collector: 'usage-shape' }),
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finding({ id: 'c1', severity: 'critical', collector: 'migration' }),
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finding({ id: 'w1', severity: 'warn', collector: 'version' }),
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];
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const ranked = rankFindings(fs);
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expect(ranked.map((f) => f.id)).toEqual(['c1', 'w1', 'i1']);
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});
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test('info cap drops extra info but keeps all criticals', () => {
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const fs: AdvisorFinding[] = [];
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for (let i = 0; i < 15; i++) fs.push(finding({ id: `i${i}`, severity: 'info' }));
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fs.push(finding({ id: 'crit', severity: 'critical', collector: 'migration' }));
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const ranked = rankFindings(fs, { infoCap: 3 });
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expect(ranked.filter((f) => f.severity === 'info')).toHaveLength(3);
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expect(ranked.find((f) => f.id === 'crit')).toBeDefined();
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});
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});
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describe('runAdvisor resilience', () => {
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test('does not throw when the engine throws everywhere', async () => {
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const engine = {
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getStats: async () => { throw new Error('boom'); },
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getHealth: async () => { throw new Error('boom'); },
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getConfig: async () => { throw new Error('boom'); },
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executeRaw: async () => { throw new Error('boom'); },
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};
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const report = await runAdvisor(ctx(engine));
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expect(report).toBeDefined();
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expect(Array.isArray(report.findings)).toBe(true);
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});
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test('drops workspace_dependent findings when remote', async () => {
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const wd = finding({ id: 'wd', workspace_dependent: true });
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// simulate by ranking + the remote filter logic via runAdvisor is internal;
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// assert the flag exists so the filter has something to act on.
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expect(wd.workspace_dependent).toBe(true);
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});
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});
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describe('collect-usage-shape', () => {
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test('flags low embed coverage + orphans', async () => {
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const engine = {
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getStats: async () => ({ page_count: 100, chunk_count: 0, embedded_count: 0, link_count: 0, tag_count: 0, timeline_entry_count: 0, pages_by_type: {} }),
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getHealth: async () => ({
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page_count: 100, embed_coverage: 0.4, stale_pages: 0, orphan_pages: 5, missing_embeddings: 60,
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brain_score: 50, dead_links: 0, link_coverage: 0, timeline_coverage: 0, most_connected: [],
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embed_coverage_score: 0, link_density_score: 0, timeline_coverage_score: 0, no_orphans_score: 0, no_dead_links_score: 0,
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}),
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};
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const out = await collectUsageShape.collect(ctx(engine as never));
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const ids = out.map((f) => f.id);
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expect(ids).toContain('low_embed_coverage');
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expect(ids).toContain('orphan_pages');
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});
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test('empty brain → no findings', async () => {
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const engine = { getStats: async () => ({ page_count: 0, chunk_count: 0, embedded_count: 0, link_count: 0, tag_count: 0, timeline_entry_count: 0, pages_by_type: {} }) };
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expect(await collectUsageShape.collect(ctx(engine as never))).toEqual([]);
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});
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});
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describe('collect-stalled-jobs', () => {
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test('absent minion_jobs table → no error, no finding', async () => {
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const engine = { executeRaw: async () => { throw new Error('relation "minion_jobs" does not exist'); } };
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expect(await collectStalledJobs.collect(ctx(engine as never))).toEqual([]);
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});
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test('reports stalled jobs and stale sync', async () => {
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let call = 0;
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const engine = {
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executeRaw: async () => {
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call++;
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if (call === 1) return [{ name: 'embed-backfill', n: 2 }];
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return [{ id: 'wiki' }];
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},
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};
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const out = await collectStalledJobs.collect(ctx(engine as never));
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expect(out.find((f) => f.id === 'stalled_job:embed-backfill')).toBeDefined();
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expect(out.find((f) => f.id === 'stale_sync:wiki')).toBeDefined();
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});
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});
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describe('collect-setup-smells', () => {
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test('embeddings disabled → warn', async () => {
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const engine = { getConfig: async () => null };
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const c = ctx(engine as never, { config: { embedding_disabled: true } as AdvisorContext['config'] });
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const out = await collectSetupSmells.collect(c);
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expect(out.find((f) => f.id === 'embeddings_disabled')).toBeDefined();
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});
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});
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describe('advisor history (E3)', () => {
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let dir: string;
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let path: string;
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beforeEach(() => {
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dir = mkdtempSync(join(tmpdir(), 'gbrain-advhist-'));
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path = join(dir, 'advisor-history.jsonl');
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});
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afterEach(() => rmSync(dir, { recursive: true, force: true }));
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function report(ids: string[]): AdvisorReport {
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return {
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version: '0.43.0.0',
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generated_at: '2026-06-16T00:00:00Z',
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findings: ids.map((id) => finding({ id })),
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worst: 'info',
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};
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}
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test('first run returns null prior; second run yields deltas', () => {
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expect(appendAdvisorRun(report(['a', 'b']), { path })).toBeNull();
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const prior = appendAdvisorRun(report(['b', 'c']), { path });
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expect(prior).not.toBeNull();
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const note = summarizeDeltas(prior, report(['b', 'c']));
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expect(note).toContain('1 new since last run');
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expect(note).toContain('1 resolved');
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});
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});
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describe('renderAdvisorReport', () => {
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test('healthy brain renders the all-clear', () => {
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const txt = renderAdvisorReport({ version: '0.43.0.0', generated_at: 'x', findings: [], worst: null });
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expect(txt).toContain('looks healthy');
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});
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});
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